About the Company: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. About the Role: We are seeking a highly experienced Data Science Leader with strong domain expertise in Oil & Gas, Power Generation, or Process Industries, combined with deep exposure to Data Science, AI/ML, and Industrial Software. The ideal candidate will play a critical role in shaping and guiding the development of data-driven B2B SaaS solutions for industrial applications, leveraging deep operational insight and advanced analytics. Responsibilities: Lead AI/ML teams to design solutions that align with real-world industrial use cases. Provide domain expertise and strategic guidance in Oil & Gas, Power, or Chemicals to product, engineering, and data science teams. Define product requirements and influence roadmap based on domain knowledge and market needs. Serve as a thought leader in industrial IoT, predictive maintenance, asset management, and reliability engineering. Support GTM teams in customer discussions, industry presentations, and positioning of the product offering. Lead knowledge transfer, training, and mentoring for internal teams on industry-specific processes and pain points. Qualifications: 15+ years of total experience, with at least the last 5 years in a senior leadership role leading Data Science initiatives. Mandatory: Extensive experience in manufacturing operations within Oil & Gas, Power Generation, or Chemicals. Proven track record in developing and launching B2B SaaS products for industrial environments. Strong understanding of industrial IoT, predictive analytics, Process Optimization, machine learning, and digital transformation. Hands-on experience with Data Science / AI / ML teams. Familiarity with industrial asset management, maintenance operations, and reliability engineering. Excellent communication skills with the ability to bridge the gap between business and technical stakeholders. Preferred: MBA or relevant advanced technical degree (e.g., Engineering, Data Science, Operations Research). Required Skills: Global exposure across different geographies and regulatory environments. Prior experience working with digital twins, SCADA, CMMS, or EAM systems. Published thought leadership or public speaking experience at industry forums. Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions. Equal Opportunity Statement: UptimeAI is committed to diversity and inclusivity in the workplace.,
About UptimeAI: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. Role : Sales Manager Location: Bangalore, India (Hybrid) Experience: 8+ years Department: Sales Role Overview As the Sales Manager, you will be responsible for identifying and acquiring new enterprise clients for our predictive maintenance solutions. Your focus will be on industries such as Oil C Gas, Chemicals, Utilities, and Cement. You’ll drive revenue growth by building relationships with key decision-makers, understanding client needs, and showcasing how UptimeAI can solve critical operational challenges. This role requires a deep understanding of complex sales cycles, customer-centric solution selling, and the ability to influence high-level stakeholders. Key Responsibilities Drive new business development and lead the entire sales process from prospecting to closing for enterprise clients. Develop a deep understanding of customer needs and pain points in industries such as Oil & Gas, Utilities, and Cement. Build and maintain strong relationships with key stakeholders and decision-makers at target accounts. Collaborate closely with Product, Marketing, and Customer Success teams to deliver tailored solutions and ensure client satisfaction. Prepare and deliver presentations, product demos, and proposals that effectively communicate the value of UptimeAI’s solutions. Conduct contract negotiations and work towards securing profitable, long-term partnerships. Consistently meet or exceed quarterly and annual sales targets and KPIs. Maintain accurate sales forecasts and pipeline management within our CRM system. Stay informed about industry trends, market conditions, and competitive landscape to adapt sales strategies. Qualifications 8+ years of sales experience in B2B enterprise SaaS, ideally within industries like Oil & Gas, Utilities, or Cement. Proven track record of meeting or exceeding sales quotas and closing large enterprise deals. Experience in managing complex sales cycles and working with multiple stakeholders. Excellent communication, presentation, and negotiation skills. Proficiency with CRM software for pipeline management and forecasting Who You Are : You have a strong background in B2B enterprise sales, particularly in SaaS solutions related to Asset Performance Management and Predictive Analytic for industrial or technical markets. You are passionate about digital transformation in heavy industries and understand the impact of predictive maintenance on operational efficiency. You thrive in a fast-paced environment and are driven to exceed sales targets. You possess exceptional communication and negotiation skills, enabling you to navigate complex enterprise sales cycles and establish long-term client relationships. You are self-motivated, resilient, and can think strategically to adapt your approach based on client needs Measures of Success : Achievement of quarterly and annual sales targets. Growth in pipeline and new customer acquisition. High level of client satisfaction and retention within the initial stages of engagement. Strong collaboration and alignment with Product and Customer Success teams Why to join UptimeAI: Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions.
About UptimeAI: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. Recently receiving a funding round led by WestBridge Capital, UptimeAI is prime for global expansion Role : Business Development Manager Location: Bangalore, India (Hybrid) Experience: 5+ years Department: BDM Role Overview As a Business Development Manager, you will lead efforts to drive growth by expanding our presence in the APAC and Middle East markets. This is a high-impact role, perfect for someone who thrives on building relationships with key stakeholders and closing enterprise deals. You’ll lead a team of business development professionals and work closely with the sales and marketing teams to grow the business. Key Responsibilities Work on top of the pipeline funnel to build a strong and qualified pipeline for Sales team Lead and execute GTM strategies to achieve company targets in the APAC and Middle East. Identify and engage with potential clients through personalized outreach and relationship-building Be the trusted first point of contact for the client within new or existing customers at various organizational levels Develop various sales enablement content, such as presentations, case studies, and account plans, to empower the sales team with the tools needed to close deals. Ask challenging questions to understand/identify problem areas Work closely with the sales and marketing teams to ensure alignment on strategy and execution. Develop a deep understanding of our product offerings to effectively position them to enterprise clients. Report and track performance metrics to assess progress against goals Qualifications Minimum of 5 years of experience in inside sales or business development, with 2+ years in enterprise software sales or business development or inside sales. Proven experience selling to APAC and Middle East enterprise clients. Experience with CRM tools like Salesforce or Hubspot Demonstrable experience of aligning with mid/upper-level management and technical users Strong leadership skills and ability to deal with multiple internal stakeholders like Sales, Business Operations and Customer Success. Excellent communication, interpersonal, and presentation skills. A bachelor's degree in business or a related field (MBA) is preferred. Ability to work independently, with strong problem-solving and decision-making abilities Who You Are : A self-starter with minimum of 5 years of experience in inside sales or business development, with 2+ years in enterprise software sales or business development or inside sales. Proven experience selling to enterprise clients in theAPAC and the Middle East. Demonstrated capability to be the trusted advisor for the client within new or existing customers at various organizational levels Highly motivated, agile, and willing to learn in a fast-paced environment. Possess strong communication and negotiation skills, with the ability to connect with C-level executives and decision-makers. We want to emphasize the problem solving, multi-tasking and executive mindshare winning aspect of this role. We are a fast-pace pre-IPO company that is revolutionizing our industry. We move fast and deal with ambiguity on a daily basis, so rolling up your sleeves and jumping in to help the business are key traits. Success here will rely just as much on your former career experience as it does your creativity, and grit You are self-motivated, resilient, and can think strategically to adapt your approach based on client needs Measures of Success : Achieving monthly/quarterly/annual revenue targets through successful client acquisition. Expansion of our enterprise client base in the APAC and Middle East. Successful collaboration with relevant UptimeAI internal teams to create account specific strategies Why to join UptimeAI: Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions.
```html About the Company: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. About the Role: We're looking for a highly skilled and hands-on ML End-to-End Engineer. You'll need deep practical experience across the entire machine learning lifecycle, from data ingestion and model development to robust backend integration and scalable production deployment. We want someone who not only understands the theory but can demonstrate significant real-world application and problem-solving at every stage of ML product development. Responsibilities: ML Model Development & Optimization: Algorithm Proficiency: Proven experience designing, training, and optimizing diverse ML models, including strong expertise in supervised learning, and significant practical experience with unsupervised learning (e.g., clustering, dimensionality reduction, anomaly detection) and reinforcement learning algorithms (e.g., Q-learning, policy gradients). You should be able to discuss specific challenges encountered during model development across these paradigms and how you resolved them. Frameworks: Hands-on expertise with PyTorch, TensorFlow, and scikit-learn. Libraries: Strong proficiency with NumPy, Pandas, SciPy, Seaborn, and Plotly for data manipulation, analysis, and visualization. Feature Engineering: Demonstrable experience in effective feature engineering, selection, and transformation techniques. Data Engineering & Management for ML: Data Pipelining: Proven experience building and managing robust data pipelines for ML, including data ingestion, cleaning, transformation, and validation. Database Proficiency: Strong command of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) for storing and retrieving data relevant to ML models. Real-time Data Streams: Expertise with Apache Kafka for building and managing real-time data ingestion and processing pipelines. Backend Development for ML Applications: API Development: Demonstrable experience designing, building, and maintaining RESTful APIs for serving ML model predictions. Programming Language & Frameworks: Strong proficiency in Python with practical experience using either Flask or FastAPI for backend service development. System Design: Ability to design scalable, fault-tolerant, and high-performance backend systems to support ML inference. MLOps & Production Deployment: Containerization: Expertise in containerization technologies (e.g., Docker) for packaging ML models and their dependencies. Orchestration: Experience with container orchestration tools (e.g., Kubernetes) for deploying and managing ML services at scale. CI/CD for ML: Proven ability to set up and manage CI/CD pipelines specifically for ML model training, testing, and deployment (e.g., Jenkins, GitLab CI, GitHub Actions). Monitoring & Logging: Experience in implementing robust monitoring, alerting, and logging solutions for production ML systems to ensure performance, reliability, and data drift detection Model Performance & Reliability: Performance Tuning: Proven ability to identify and resolve performance bottlenecks in ML models and backend services. This includes experience with fine-tuning models and applying techniques to extract maximum performance from them, such as quantization, pruning, or model compression. Model Versioning & Experiment Tracking: Experience with tools and practices for model versioning, experiment tracking (e.g., MLflow, DVC), and reproducibility. General Engineering & Problem Solving: Competitive Coding / Algorithmic Problem Solving: Demonstrated proficiency in competitive coding platforms (e.g., LeetCode, HackerRank, TopCoder, Codeforces) or a strong, demonstrable foundation in algorithms and data structures, showcasing exceptional problem-solving abilities. Security Best Practices for ML Systems: Understanding and implementation of security best practices for ML models, data, and APIs. Qualifications: 5+ years of experience as ML Engineer in high-growth SaaS or product startups Strong problem-solving and engineering mindset, with a keen eye for scalability, reliability, and efficiency. Excellent communication skills for conveying complex technical information to both technical and non-technical stakeholders. Adaptable and enthusiastic about working in a fast-paced, product-driven environment. Proactive in learning new ML technologies, backend frameworks, and deployment methodologies Comfortable working in a fast-paced, ambiguous startup environment Why to join UptimeAI: Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions. Pay range and compensation package: [Pay range or salary or compensation] Equal Opportunity Statement: [Include a statement on commitment to diversity and inclusivity.] ```
```html About the Company: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. About the Role: We are a fast-growing, AI-first SaaS startup backed by top-tier investors and operating across India and the US. Our platform helps enterprises optimize critical business functions using cutting-edge AI and automation. As we scale, we’re looking for a hands-on DevOps Engineer who thrives in startup environments and can take ownership of cloud infrastructure, deployment, and CI/CD workflows. Responsibilities: Design, implement, and manage cloud infrastructure across Azure for both internal platforms and customer-specific deployments Configure and maintain VPCs, VPNs, and peering to enable secure, scalable, and isolated environments Build and automate CI/CD pipelines for application and ML workloads Manage multi-tenant vs single-tenant deployments based on customer requirements Implement monitoring, alerting, logging, and disaster recovery strategies Work closely with engineering to ensure seamless Dev→Prod flows and secure release management Set up and manage infrastructure as code (e.g., Terraform, Pulumi, Bicep, CloudFormation) Optimize costs, performance, and availability for both internal and customer-facing cloud workloads Enforce security best practices, access control, and compliance across infrastructure Qualifications: 3 - 8 years of experience as a DevOps/SRE/Cloud Engineer in high-growth SaaS or product startups AWS Certified (at least Solutions Architect - Associate) and Azure Certified (e.g., AZ-104 or higher) Strong experience with Azure networking, including: VPC, VPNs, Subnets, Route Tables, Security Groups, NAT Gateways Site-to-site VPN setups for enterprise customers Proven experience deploying applications to customer-controlled cloud environments (BYOC) and company-controlled SaaS environments Expertise with tools like: CI/CD: GitHub Actions, GitLab CI, Azure Pipelines; IaC: Terraform, Bicep, or Pulumi; Containers: Docker, Kubernetes (EKS/AKS preferred) Familiarity with Secrets Management, IAM, Role-based Access Control, and SSO/SAML integration Strong scripting skills in Bash, Python, or PowerShell Comfortable working in a fast-paced, ambiguous startup environment Required Skills: Experience with AI/ML pipeline deployment or GPU workloads Exposure to SOC2, ISO27001, or GDPR compliance in a cloud environment Familiarity with tools like Prometheus, Grafana, Datadog, ELK, or Azure Monitor Pay range and compensation package: Not specified in the provided job description. Equal Opportunity Statement: UptimeAI is committed to diversity and inclusivity in the workplace. Why to join UptimeAI: Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions. ```
```html About the Company: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. About the Role: We are seeking a skilled Fullstack Developer with experience in MEAN/MERN stack development to join our remote team. The ideal candidate will have at least 2 years of professional experience, strong data structures and algorithms (DSA) knowledge, and proficient programming skills. Freshers with notable projects are also encouraged to apply. This is an excellent opportunity to work with a dynamic team on exciting projects and grow your career in a collaborative environment. Responsibilities: Collaborate with cross-functional teams to design, develop, and maintain scalable web applications using the MEAN stack. Write clean, efficient, and maintainable code following best practices. Implement responsive user interfaces using modern front-end frameworks (Angular). Develop and integrate APIs for seamless communication between front-end and back-end systems. Perform code reviews, debugging, and troubleshooting to ensure high-quality deliverables. Stay updated with emerging technologies and industry trends to continuously improve development processes and solutions. Qualifications: Bachelor's degree in Computer Science/Engineering (B.Tech in CSE/IT) or MCA. Minimum 2+ years of professional experience in MEAN/MERN stack development. Proficiency in JavaScript, TypeScript, HTML5, CSS3, and related web technologies. Strong understanding of data structures, algorithms, and problem-solving skills. Experience with database systems such as MongoDB, MySQL, or PostgreSQL. Familiarity with version control systems (Git/GitHub) and agile development methodologies. Excellent communication skills and ability to work effectively in a remote team environment. Demonstrated ability to learn and adapt to new technologies quickly. Freshers with relevant projects/portfolio will also be considered. Preferred Skills: Experience with cloud platforms (AWS, Azure, Google Cloud Platform). Knowledge of server-side frameworks such as Express.js (for Node.js) or Flask/Django (for Python). Understanding of microservices architecture and containerization technologies (Docker, Kubernetes). Familiarity with DevOps practices for continuous integration and deployment (CI/CD). Competitive Coding / Algorithmic Problem Solving: Demonstrated proficiency in competitive coding platforms (e.g., LeetCode, HackerRank, TopCoder, Codeforces) or a strong, demonstrable foundation in algorithms and data structures, showcasing exceptional problem-solving abilities. Equal Opportunity Statement: UptimeAI is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status. Why to join UptimeAI: Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions. ```
Role : Enterprise Account Executive (Industrial AI / Predictive Maintenance) Location: Bangalore, India (Hybrid / Remote Option Available) Experience: 10+ years in B2B enterprise SaaS sales Department: Sales Region Focus: APAC and Middle East About UptimeAI UptimeAI is transforming industrial operations through its AI-driven platform that maximizes uptime, optimizes asset performance, and enhances reliability across heavy industries. Our proprietary AI Reasoning Engine and AI Expert platform combine advanced data science, deep learning, and decades of collective domain expertise to deliver human-like insights that help enterprises achieve operational excellence. By leveraging predictive analytics and domain intelligence , UptimeAI enables industrial plants to predict, diagnose, and resolve issues in real time — boosting productivity, reducing maintenance costs, and improving overall efficiency. Our technology is particularly impactful in oil & gas, chemicals, utilities, and other process-intensive sectors , where it provides precise alerts and prescriptive recommendations, minimizing manual interventions and accelerating root-cause resolution. Backed by $14 million in Series A funding , UptimeAI is rapidly expanding across North America, the Middle East, and Asia . With recognition and partnerships from Shell, Mitsubishi, ABB Motion, and Frost & Sullivan , UptimeAI is redefining how global enterprises transform maintenance and performance through intelligent, self-learning AI systems that drive measurable business impact. Role Overview As an Enterprise Account Executive , you will be responsible for driving new business growth across the APAC and Middle East regions , acquiring and expanding enterprise clients in industries such as Oil & Gas, Chemicals, Utilities, and Cement . You will own the full sales cycle — from prospecting and qualification to deal closure — and represent UptimeAI’s cutting-edge solutions to senior leaders driving industrial digital transformation. This role requires a deep understanding of consultative enterprise sales , cross-regional selling dynamics , and the ability to navigate complex, multi-stakeholder environments. Key Responsibilities Drive new customer acquisition and revenue growth across APAC and Middle East enterprise markets. Identify, engage, and close enterprise accounts within Oil & Gas, Utilities, Cement, and Process Manufacturing industries. Develop a deep understanding of customer challenges related to maintenance optimization, process reliability, and operational efficiency . Build trusted relationships with CXOs, Plant Heads, and Reliability & Operations leaders. Collaborate with Product, Marketing, and Customer Success teams to deliver tailored, region-specific client solutions. Deliver persuasive demos, presentations, and proposals that effectively demonstrate UptimeAI’s business value. Negotiate commercial terms and contracts to secure long-term, high-value partnerships. Maintain accurate sales forecasts and pipeline tracking using CRM tools. Stay current with regional market dynamics, competition, and industry trends influencing AI adoption in industrial sectors. Qualifications 8+ years of enterprise B2B SaaS or industrial technology sales experience. Proven track record of success in APAC or Middle East markets , with experience closing large, complex enterprise deals. Strong exposure to industrial software, AI, APM, IIoT, or predictive analytics solutions. Excellent consultative selling, presentation, and negotiation skills. Deep understanding of solution-based, ROI-driven enterprise sales. Proficiency in CRM tools for pipeline management and forecasting. Who You Are You are a high-performing enterprise salesperson with a strong grasp of industrial digital transformation. You understand regional nuances and decision-making structures across APAC and Middle Eastern markets . You excel in building relationships with senior stakeholders and navigating complex enterprise buying cycles. You are driven, resourceful, and passionate about using AI to drive measurable outcomes for industrial clients.
Title: Senior Product Manager, AI/GenAI Location: Bangalore, India (Hybrid / Remote Option Available) Team: Product Reports to: Director of Product About UptimeAI UptimeAI builds AI-driven solutions that reduce downtime and improve efficiency for industrial clients. We combine advanced AI/ML with deep subject-matter expertise to connect upstream/downstream behavior, adapt to change, pinpoint issues early, and provide prescriptive, explainable recommendations. Role Summary Lead the strategy and delivery of operator-assist AI agents that reduce cognitive load, accelerate decision-making, and improve reliability/throughput. You’ll partner with Data Science/ML, Engineering, Design, and SMEs to ship safe, measurable AI capabilities grounded in plant workflows and industrial data. What you’ll build Ask & Explain Agents – NL answers with citations to plant data/knowledge. Detect & Triage Agents – Prioritize signals, cluster issues, surface “what first” with rationale. Diagnose & Advise Agents – Hypotheses, likely causes, and safe next steps with evidence trails. Optimize & Plan Agents – Suggestions for run-windows, guardrails, or maintenance planning. Automate & Document Agents – Draft shift notes/reports, pre-fill tickets—always human-in-the-loop. Learn & Improve Agents – Capture operator feedback and post-event learnings under governance. Principles: explainability, role-based access, auditability, human confirmation before actions. Responsibilities Translate operator/reliability jobs-to-be-done into agent capabilities, success criteria, and safe workflows. Partner with DS/ML on retrieval & evaluation (offline/online), quality bars (task success, time-to-answer), and safety (hallucination gating, RBAC/ABAC, audit). Define data needs across time-series, events/alarms, asset hierarchies, procedures/docs ; guide pragmatic integrations (historians, SCADA/MES, CMMS/EAM). Drive pilots via feature flags , scale what works, publish internal playbooks and customer-approved case studies. Support GTM with value narratives (noise↓, MTTR↓, throughput/energy↑) without disclosing feature roadmaps. Qualifications Required 7–12 years in Product Management, including 3+ years shipping AI/ML or GenAI experiences (assistants, retrieval/RAG, agentic workflows) in production . Industrial/process domain fluency in Oil & Gas, Power Generation, or Chemicals (reliability, predictive maintenance, maintenance operations). Data/platform literacy: time-series historians, events/alarms , asset models; familiarity with SCADA/MES and CMMS/EAM concepts. Proven collaboration with DS/ML on prompts/retrieval design, evaluation datasets, online experiments, and safety/guardrails. Enterprise SaaS delivery: discovery → PRD → beta → GA; adoption instrumentation and outcome metrics. Excellent communication; track record driving cross-functional alignment with Eng/DS/Design/GTM and customers. Preferred Experience with digital twins , 2D/3D/P&IDs, or asset-centric search. Global rollout exposure (data residency, access controls, regulatory contexts). Pricing/packaging for AI add-ons and ROI storytelling (case studies, value calculators). Public speaking/thought leadership (industry forums) and/or published content. MBA or advanced technical degree (Engineering, Data Science, Operations Research). At UptimeAi , we are an Equal Opportunity Employer . We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, marital status, veteran status, or any other characteristic protected by applicable laws. All employment decisions at UptimeAi are based on business needs, merit, and qualifications , ensuring fair and equitable opportunities for everyone
```html About the Company: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. About the Role: We are seeking a highly experienced Senior Data Science with strong domain expertise in Oil & Gas, Power Generation, or Process Industries, combined with deep exposure to Data Science, AI/ML, and Industrial Software. The ideal candidate will play a critical role in shaping and guiding the development of data-driven B2B SaaS solutions for industrial applications, leveraging deep operational insight and advanced analytics. Responsibilities: Lead AI/ML teams to design solutions that align with real-world industrial use cases Provide domain expertise and strategic guidance in Oil & Gas, Power, or Chemicals to product, engineering, and data science teams Define product requirements and influence roadmap based on domain knowledge and market needs Serve as a thought leader in industrial IoT, predictive maintenance, asset management, and reliability engineering Support GTM teams in customer discussions, industry presentations, and positioning of the product offering Lead knowledge transfer, training, and mentoring for internal teams on industry-specific processes and pain points Qualifications: 4- 8years of total experience, with hands-on experience with Data Science / AI / ML teams Mandatory: Extensive experience in manufacturing operations within Oil & Gas, Power Generation, or Chemicals Proven track record in developing and launching B2B SaaS products for industrial environments Strong understanding of industrial IoT, predictive analytics, Process Optimization, machine learning, and digital transformation Familiarity with industrial asset management, maintenance operations, and reliability engineering Excellent communication skills with the ability to bridge the gap between business and technical stakeholders Preferred: MBA or relevant advanced technical degree (e.g., Engineering, Data Science, Operations Research) Required Skills: Global exposure across different geographies and regulatory environments Prior experience working with digital twins, SCADA, CMMS, or EAM systems Published thought leadership or public speaking experience at industry forums Pay range and compensation package: Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AIsolutions. Equal Opportunity Statement: UptimeAI is committed to diversity and inclusivity in the workplace. ```